SOTAVerified

Topic Models

A topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents. Topic modeling is a frequently used text-mining tool for the discovery of hidden semantic structures in a text body.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 881 papers

TitleStatusHype
Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts—0
TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs—0
A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text SpatializationsCode0
Text-to-Battery Recipe: A language modeling-based protocol for automatic battery recipe extraction and retrieval—0
Interactive Topic Models with Optimal Transport—0
Historia Magistra Vitae: Dynamic Topic Modeling of Roman Literature using Neural Embeddings—0
Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccinationCode0
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language ModelsCode0
RICo: Reddit ideological communitiesCode0
Comprehensive Evaluation of Large Language Models for Topic Modeling—0
Exploring Public Attention in the Circular Economy through Topic Modelling with Twin Hyperparameter OptimisationCode0
GINopic: Topic Modeling with Graph Isomorphism NetworkCode0
Neural Multimodal Topic Modeling: A Comprehensive EvaluationCode0
Discovering Latent Themes in Social Media Messaging: A Machine-in-the-Loop Approach Integrating LLMsCode0
Membership Inference Attacks and Privacy in Topic ModelingCode0
Automating the Information Extraction from Semi-Structured Interview TranscriptsCode0
The Geometric Structure of Topic Models—0
Topic Modeling as Multi-Objective Contrastive Optimization—0
RankSum An unsupervised extractive text summarization based on rank fusion—0
Network-based Topic Structure VisualizationCode0
CFTM: Continuous time fractional topic model—0
Dynamic embedded topic models and change-point detection for exploring literary-historical hypotheses—0
Topic Modelling: Going Beyond Token Outputs—0
Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model—0
Discovering Significant Topics from Legal Decisions with Selective Inference—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.69—Unverified
2GSMC_v0.55—Unverified
3vNVDMC_v0.52—Unverified
4ETMC_v0.51—Unverified
5NSTMC_v0.38—Unverified
6ProdLDAC_v0.35—Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49—Unverified
2vNVDMC_v0.44—Unverified
3GSMC_v0.41—Unverified
4ETMC_v0.41—Unverified
5NSTMC_v0.37—Unverified
6ProdLDAC_v0.32—Unverified
#ModelMetricClaimedVerifiedStatus
1NVDMTest perplexity836—Unverified
2Bayesian SMMTest perplexity515—Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC83.24—Unverified
2TopicEqTopic Coherence@500.1—Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49—Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC90.91—Unverified